ABSTRACT. The peroxisome proliferator-activated receptor gamma (PPAR-γ) is a key molecule in adipocyte differentitation; it transactivates multiple target genes in lipid metabolic pathways. Using PCR-SSCP and DNA sequencing, we evaluated a potential association of an SNP (72472 G﹥T in exon7) of the bovine PPAR-γ gene with carcass and meat quality traits in 660 individuals from five Chinese indigenous cattle breeds, Qinchuan (QC), Luxi (LX), Nanyang (NY), Jiaxian (JX), and Xianan (XN). This 72472 G﹥T mutation identified a missense mutation, Q448H. Two alleles were named C and D. Allele frequencies of PPAR-γ-C/D in the five breeds were 0.78/0.22, 0.90/0.10, 0.74/0.26, 0.71/0.29, and 0.83/0.17 for QC, NY, JX, LX, and XN, respectively. Except for the XN breed, all breeds were in Hardy-Weinberg equilibrium at this locus. The polymorphism information content was low for NY and XN (0.16 and 0.24, respectively), while it was moderately high for QC, JX, and LX (0.28, 0.31 and 0.33, respectively). Correlation analysis showed significant association of this missense mutation with carcass length, backfat thickness and water holding capacity in the QC breed. Animals with the genotype CD had significantly greater carcass length than those with genotypes CC and DD, while animals with genotype CC had significantly greater backfat thickness than those with genotypes CD and DD. Animals with genotype CC had lower water holding capacity than those with the genotypes CD and DD. In conclusion, this locus is a candidate for a major quantitative trait locus affecting production traits and could be used for beef breeding selection.
Background The objective of this study was to establish a nomogram for predicting the overall survival (OS) of patients with acral lentiginous melanoma (ALM). Materials and Methods The study sample was selected from 1785 patients diagnosed with ALM from 2004 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database, and R software was used to divide patients into the training cohort and validation cohort at a ratio of 7: 3. Stepwise selection method in the Cox regression model was used in the training cohort to select predictive variables to construct the nomogram, and model validation parameters were used in the validation cohort to evaluate the performance of the nomogram. Results The nomogram showed that age at diagnosis had the greatest impact on OS in patients with ALM, followed by AJCC stage, surgical treatment, SEER stage, sex, race, and marital status. The index of concordance, area under the receiver operating characteristic curve, calibration plots, net reclassification improvement, integrated discrimination improvement, and decision curve analysis demonstrate the good performance of this nomogram. Conclusion The prognostic value of the nomogram is superior to that of the AJCC staging system alone, and it helps clinicians to better predict 3-, 5-, and 8-year OS in patients with ALM.
Recent studies have evaluated the associations between polymorphisms of glucocorticoid receptor genes and asthma. However, the conclusions of these studies are conflicting. The objective of this meta-analysis was to clarify the association between all known polymorphisms of glucocorticoid receptor genetic loci and susceptibility to asthma, based on existing reports. We conducted a meta-analysis of the association between glucocorticoid receptor polymorphisms (NR3C1) and asthma risk. A systematical literature search was performed in PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI), and Cochrane Library until January 15, 2018. The odds ratio (OR), 95% confidence interval (CI), and P value were calculated using Mantel-Haenszel statistics under the allele, homozygote, heterozygote, dominant, or recessive models. P values of less than 0.05 were considered to represent statistically significant associations between glucocorticoid receptor gene polymorphisms and asthma. All statistical analyses were done using the "meta" package (version 4.9-0) of R version 3.4.3 and RStudio version 1.0.44. A total of fourteen studies, reported via ten articles from online databases were included in our meta-analysis. For BclI (from eight studies), a significant association was detected in the allele model, homozygote model, and recessive model (C versus G: OR (95% CI) = 0.63 (0.40-0.97), CC versus GG: OR (95% CI) = 0.41(0.17-0.97), CC versus GC + GG: OR (95% CI) = 0.54(0.34-0.88)), but not in the heterozygote model or the dominant model. For ER22/23EK (from four studies), TthIII1 (from two studies), no significant association was found for any genetic model. After subgroup analyses by age, significant associations were observed for the allele model, homozygote model, dominant model and recessive model for BclI in adults. The ER22/23EK and TthIII1 polymorphisms were not found to be associated with susceptibility to ASTHMA; however, the BclI polymorphisms were significantly associated with ASTHMA in adults.
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